Skip to main content
Log in

Understanding customer satisfaction in product customization

  • Original article
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Product customization has been recognized as an effective means to meet individual customers’ needs. It is imperative to assist customers in making informed decisions with regard to company capabilities and the added value of customization. Customer value analysis not only empowers customers to express their preferences for various product features explicitly, but it also facilitates the company’s justification of different customization solutions. This paper analyzes diverse elements of product quality in relation to customization and introduces utility functions to quantify the customer-perceived value in terms of the quality utility per unit cost and the ratio of marginal utility to marginal cost. Adaptive conjoint analysis is employed to capture the utility function of product quality with respect to many specific product features. With quantitative analysis of quality utility, customers can be actively involved in the product customization process. Product marketing and design engineering are coordinated through the product family architecture, enabling the convergence of customers’ needs to product offerings of the company. Also reported is a case study of customizing power supply design for a telecommunications system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Box GEP, Hunter WJ, Hunter JS (1978) Statistics for experimenters: an Introduction to design, data analysis, and model building. Wiley, New York

    MATH  Google Scholar 

  2. Da Silveira G, Borenstein D, Fogliatto FS (2001) Mass customization: literature review and research directions. Int J Prod Econ 72(1):1–13

    Article  Google Scholar 

  3. Du X, Jiao J, Tseng MM, Lo WK, Liu XZ (1999) Product definition for effective order processing: a customer-oriented pragmatic approach. In: Portland International Conference on Management of Engineering and Technology (PICMET’99), Portland, Oregon, July 1999, vol 2, pp 249–255

  4. Du X, Jiao J, Tseng MM (2001) Architecture of product family: fundamentals and methodology. Concurrent Eng Res Appl 9(4):309–325

    Google Scholar 

  5. Gegax D, Stanley LR (1997) Validating conjoint and hedonic preference measures: evidence from valuing reductions in risk. Q J Bus Econ 36(2):31–54

    Google Scholar 

  6. Green PE, Srinivasan V (1978) Conjoint analysis in consumer research: issues and outlook. J Consum Res 5(2):103–123

    Article  Google Scholar 

  7. Green PE, Srinivasan V (1990) Conjoint analysis in marketing: new developments with implications for research and practice. J Marketing 54(4):3–19

    Article  Google Scholar 

  8. Hillier MS (2000) Component commonality in multiple-period, assemble-to-order systems. IIE Trans 32(8):755–766

    Article  Google Scholar 

  9. Huffman C (1998) Variety for sale: mass customization or mass confusion? J Retailing 74(4):491–513

    Article  Google Scholar 

  10. Ishii K, Martin MV (1996) Design for variety: a methodology for understanding the costs of product proliferation. In: Proceedings of ASME Design Engineering Technical Conferences and Computers in Engineering Conference (DETCDFM’96), Irvine, California, August 1996, pp 18–22

  11. Jiao J, Tseng MM (1999) A methodology of developing product family architecture for mass customization. J Intell Manuf 10(1):3–20

    Article  Google Scholar 

  12. Jiao J, Tseng MM (2000) Fundamentals of product family architecture. Integr Manuf Syst 11(7):469–483

    Article  Google Scholar 

  13. Jiao J, Tseng MM, Ma Q, Zou Y (2000) Generic bill of materials and operations for high-variety production management. Concurrent Eng Res Appl 8(4):297–322

    Article  Google Scholar 

  14. Jiao J, Tseng MM (2004) Customizability analysis in design for mass customization. Comput Aided Design 36(8):745–757

    Article  Google Scholar 

  15. Kano N, Seraku N, Takahashi F, Tsuji S (1984) Attractive quality and must-be quality. Hinshitsu Kanri 14(2):147–156

    Google Scholar 

  16. Lee HL, Billington C (1994) Designing products and processes for postponement. In: Dasu S, Eastman CM (eds) Management of design: engineering and management perspectives. Kluwer, Boston, Massachusetts, pp 105–122

    Google Scholar 

  17. Lifson MW (1972) Decision and risk analysis for practicing engineers. Barnes and Noble, New York

    Google Scholar 

  18. Malen DE, Hancock WM (1995) Engineering for the customer: combining preference and physical system models. I. Theory. J Eng Design 6(4):315–328

    Google Scholar 

  19. Malen DE, Hancock WM (1995) Engineering for the customer: combining preference and physical system models. II. Application. J Eng Des 6(4):329–341

    Google Scholar 

  20. Malhotra NK (1982) Information load and consumer decision making. J Marketing Res 8(4):419–430

    MathSciNet  Google Scholar 

  21. Marchant LJ, Hutchinson PJ, Prescott P (1990) A practical model of consumer choice. J Market Res Soc 32(1):103–139

    Google Scholar 

  22. Martinez MT, Favrel J, Ghodous P (2000) Product family manufacturing plan generation and classification. Concurrent Eng Res Appl 8(1):12–23

    Article  Google Scholar 

  23. McFadden D (1986) The choice theory approach to market research. Marketing Sci 5(4):275–97

    MathSciNet  Google Scholar 

  24. Mead R (1988) The design of experiments: statistical principles for practical applications. Cambridge University Press, Cambridge, Massachusetts

    Google Scholar 

  25. Meyer MH, Lehnerd AP (1997) The power of product platforms. The Free Press, New York

    Google Scholar 

  26. Michaels JV, Wood WP (1989) Design to cost. Wiley, New York

    Google Scholar 

  27. Moffat S (1990) Japan’s new personalized production. Fortune 122(10):132–135

    MathSciNet  Google Scholar 

  28. Morgan LO, Daniels RL, Kouvelis P (2001) Marketing/manufacturing trade-offs in product line management. IIE Trans 33(11):949–962

    Article  Google Scholar 

  29. Morris LJ, Stauffer LA (1994) A design taxonomy for eliciting customer requirements. Comput Ind Eng 27(1–4):557–560

    Article  Google Scholar 

  30. Mousavi A, Adl P, Rakowski RT, Gunasekaran A., Mirnezami N (2001) Customer optimization route and evaluation (CORE) for product design. Int J Comput Integ Manuf 14(2):236–243

    Article  Google Scholar 

  31. Naumann E (1995) Creating customer value: the path to sustainable competitive advantage. Thomson Executive Press, Cincinnati, Ohio

    Google Scholar 

  32. Norman DA (1998) The invisible computer: why good products can fail, the personal computer is so complex, and information appliances are the solution. MIT Press, Cambridge, Massachusetts

    Google Scholar 

  33. Pine BJ (1993) Mass customization: the new frontier in business competition. Harvard Business School Press, Boston, Massachusetts

    Google Scholar 

  34. Quelch JA, Kenny D (1994) Extend profits, not product lines. Harvard Bus Rev 72(5):153–160

    Google Scholar 

  35. Siddall JN (1982) Optimal engineering design: principles and applications. Dekker, New York

    Google Scholar 

  36. Spring M, Dalrymple JF (2000) Product customization and manufacturing strategy. Int J Oper Prod Manage 20(4):441–467

    Article  Google Scholar 

  37. Thurston DL (1991) A formal method for subjective design evaluation with multiple attributes. Res Eng Des 3(2):105–112

    Article  Google Scholar 

  38. Tseng MM, Du X (1998) Design by customers for mass customization products. CIRP Annals 47(1):103–106

    Google Scholar 

  39. Tseng MM, Jiao J (1998) Computer-aided requirement management for product definition: a methodology and implementation. Concurrent Eng Res Appl 6(2):145–160

    Google Scholar 

  40. Tseng MM, Jiao J (1996) Design for mass customization. CIRP Annals 45(1):153–156

    Article  Google Scholar 

  41. Walters CG, Bergiel BJ (1989) Consumer behavior: a decision-making approach. South-Western, Cincinnati, Ohio

    Google Scholar 

  42. Wittink DR, Cattin P (1989) Commercial use of conjoint analysis: an update. J Marketing 53(3):91–96

    Article  Google Scholar 

  43. Zeithaml VA (1988) Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. J Marketing 52(3):2–22

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jianxin Jiao.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Du, X., Jiao, J. & Tseng, M.M. Understanding customer satisfaction in product customization. Int J Adv Manuf Technol 31, 396–406 (2006). https://doi.org/10.1007/s00170-005-0177-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-005-0177-8

Keywords

Navigation